- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| c12 |      | Renata C. B. Madeo, Clodoaldo Ap. M. Lima, Sarajane Marques Peres: Gesture unit segmentation using support vector machines: segmenting gestures from rest positions. SAC 2013: 46-52 |
| 2012 | ||
| c11 | | Renata C. B. Madeo, Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Clodis Boscarioli: Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategy. IJCNN 2012: 1-8 |
| c10 | | Renata C. B. Madeo, Clodoaldo Ap. M. Lima, Sarajane Marques Peres: A Review on Temporal Reasoning Using Support Vector Machines. TIME 2012: 114-121 |
| 2011 | ||
| j5 | | Clodoaldo Ap. M. Lima, André L. V. Coelho: Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study. Artificial Intelligence in Medicine 53(2): 83-95 (2011) |
| 2010 | ||
| j4 | | Clodoaldo Ap. M. Lima, André L. V. Coelho, Marcio Eisencraft: Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study. Comp. in Bio. and Med. 40(8): 705-714 (2010) |
| 2009 | ||
| j3 | | Clodoaldo Ap. M. Lima, André L. V. Coelho, Sandro Chagas: Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines. Expert Syst. Appl. 36(6): 10054-10059 (2009) |
| j2 | | Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben: Pattern classification with mixtures of weighted least-squares support vector machine experts. Neural Computing and Applications 18(7): 843-860 (2009) |
| c9 | | Lia C. Rodrigues, Clodoaldo Ap. M. Lima, Pollyana N. Mustaro: Clustering online game communities through SOM. IJCNN 2009: 2699-2702 |
| c8 | | Mauro Schneider, Pollyana N. Mustaro, Clodoaldo Ap. M. Lima: Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal. IJCNN 2009: 2841-2845 |
| 2007 | ||
| j1 | | Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben: Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification. Inf. Sci. 177(10): 2049-2074 (2007) |
| c7 | | Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben: A Wrapper for Projection Pursuit Learning. IJCNN 2007: 2892-2897 |
| c6 | | Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben: Analysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers. ISDA 2007: 127-132 |
| 2006 | ||
| c5 | | Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, C. Junqueira, Romis de Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben: Support Vector Clustering Applied to Digital Communications. IJCNN 2006: 1642-1648 |
| c4 | | Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben: A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. IJCNN 2006: 2627-2634 |
| 2003 | ||
| c3 | | Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben: A Multiagent-Based Constructive Approach for Feedforward Neural Networks. IDA 2003: 462-473 |
| c2 | | André L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben: Hybrid genetic training of gated mixtures of experts for nonlinear time series forecasting. SMC 2003: 4625-4630 |
| 2002 | ||
| c1 | | Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben: Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study. SBRN 2002: 162-167 |
Colors in the list of coauthors
Last update Sun May 19 07:50:00 2013 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page